32 citations · 66 across the 13 of their papers we have counts for
5 papers · 1 filter
A temporal multiscale approach for MR Fingerprinting
Samuel Cortinhas, Mohammad Golbabaee, Matthias J. Ehrhardt
Quantitative MRI (qMRI) is becoming increasingly important for research and clinical applications, however, state-of-the-art reconstruction methods for qMRI are computationally pro…
The Practicality of Stochastic Optimization in Imaging Inverse Problems
Junqi Tang, Karen Egiazarian, Mohammad Golbabaee +1
In this work we investigate the practicality of stochastic gradient descent and recently introduced variants with variance-reduction techniques in imaging inverse problems. Such al…
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
Junqi Tang, Mohammad Golbabaee, Francis Bach +1
We propose a structure-adaptive variant of the state-of-the-art stochastic variance-reduced gradient algorithm Katyusha for regularized empirical risk minimization. The proposed me…
Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic Optimization
Junqi Tang, Francis Bach, Mohammad Golbabaee +1
In this work we explore the fundamental structure-adaptiveness of state of the art randomized first order algorithms on regularized empirical risk minimization tasks, where the sol…
Exploiting the Structure via Sketched Gradient Algorithms
Junqi Tang, Mohammad Golbabaee, Mike Davies
Sketched gradient algorithms have been recently introduced for efficiently solving the large-scale constrained Least-squares regressions. In this paper we provide novel convergence…